Single-cell transcriptomic landscape of nucleated cells in umbilical cord blood Article Swipe
Yi Zhao
,
Xiao Li
,
Weihua Zhao
,
Jingwan Wang
,
Jiawei Yu
,
Ziyun Wan
,
Kai Gao
,
Gang Yi
,
Wang Xie
,
Bingbing Fan
,
Qinkai Wu
,
Bangwei Chen
,
Feng Xie
,
Jinghua Wu
,
Wei Zhang
,
Fang Chen
,
Huanming Yang
,
Jian Wang
,
Xun Xu
,
Bin Li
,
Shiping Liu
,
Yong Hou
,
Xiao Liu
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/gigascience/giz047
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/gigascience/giz047
Background For both pediatric and adult patients, umbilical cord blood (UCB) transplant is a therapeutic option for a variety of hematologic diseases, such as blood cancers, myeloproliferative disorders, genetic diseases, and metabolic disorders. However, the level of cellular heterogeneity and diversity of nucleated cells in UCB has not yet been assessed in an unbiased and systemic fashion. In the present study, nucleated cells from UCB were subjected to single-cell RNA sequencing to simultaneously profile the gene expression signatures of thousands of cells, generating a rich resource for further functional studies. Here, we report the transcriptomes of 17,637 UCB cells, covering 12 major cell types, many of which can be further divided into distinct subpopulations. Results Pseudotemporal ordering of nucleated red blood cells identifies wave-like activation and suppression of transcription regulators, leading to a polarized cellular state, which may reflect nucleated red blood cell maturation. Progenitor cells in UCB also comprise 2 subpopulations with activation of divergent transcription programs, leading to specific cell fate commitment. Detailed profiling of cytotoxic cell populations unveiled granzymes B and K signatures in natural killer and natural killer T-cell types in UCB. Conclusions Taken together, our data form a comprehensive single-cell transcriptomic landscape that reveals previously unrecognized cell types, pathways, and mechanisms of gene expression regulation. These data may contribute to the efficacy and outcome of UCB transplant, broadening the scope of research and clinical innovations.
Related Topics
Concepts
Transcriptome
Biology
Immunology
Cell
Progenitor cell
Epigenetics
Cell type
Umbilical cord
Cord blood
Single-cell analysis
Granzyme
Stem cell
Cell biology
Computational biology
Gene
Gene expression
Genetics
Immune system
CD8
Perforin
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/gigascience/giz047
- https://academic.oup.com/gigascience/article-pdf/8/5/giz047/28550236/giz047.pdf
- OA Status
- gold
- Cited By
- 35
- References
- 91
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2952680120
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2952680120Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/gigascience/giz047Digital Object Identifier
- Title
-
Single-cell transcriptomic landscape of nucleated cells in umbilical cord bloodWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-05-01Full publication date if available
- Authors
-
Yi Zhao, Xiao Li, Weihua Zhao, Jingwan Wang, Jiawei Yu, Ziyun Wan, Kai Gao, Gang Yi, Wang Xie, Bingbing Fan, Qinkai Wu, Bangwei Chen, Feng Xie, Jinghua Wu, Wei Zhang, Fang Chen, Huanming Yang, Jian Wang, Xun Xu, Bin Li, Shiping Liu, Yong Hou, Xiao LiuList of authors in order
- Landing page
-
https://doi.org/10.1093/gigascience/giz047Publisher landing page
- PDF URL
-
https://academic.oup.com/gigascience/article-pdf/8/5/giz047/28550236/giz047.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/gigascience/article-pdf/8/5/giz047/28550236/giz047.pdfDirect OA link when available
- Concepts
-
Transcriptome, Biology, Immunology, Cell, Progenitor cell, Epigenetics, Cell type, Umbilical cord, Cord blood, Single-cell analysis, Granzyme, Stem cell, Cell biology, Computational biology, Gene, Gene expression, Genetics, Immune system, CD8, PerforinTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
35Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 2, 2023: 6, 2022: 7, 2021: 10Per-year citation counts (last 5 years)
- References (count)
-
91Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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